Scaling a histogram

This example shows how to scale a histogram. To show the effect of the scalling, the initial histogram is copied in a different object before scaling, because the scalling modifies the original object. Also, we use matplotlib to create a 2 by 2 grid to display multiple plots on the same window. The histograms are plotted using the plotting module mpl from this package (which internally uses matplotlib).

import random
import copy
import matplotlib.pyplot as plt

from qksplot.hist import Hist1D
from qksplot import mpl

# create a 1D histogram
myhist = Hist1D(10, 0, 10)

# fill the histogram
for x in range(100):
    r = random.uniform(0, 10)

    myhist.fill(r)

# make a copy before scalling
histBeforeScaling = copy.deepcopy(myhist)
histBeforeScaling.title = "Before Scaling"

# scale the histogram's bins by 2.3
histAfterScaling = myhist.scale(2.3)
histAfterScaling.title = "After Scaling"

grid = plt.GridSpec(1, 2, wspace=0.2, hspace=0.4)
plt.subplot(grid[0, 0])
mpl.plot_hist(histBeforeScaling)

plt.subplot(grid[0, 1])
mpl.plot_hist(histAfterScaling)

mpl.show()